Update TensorFlow examples following API change#44
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lukmis merged 2 commits intoaws:masterfrom Jan 23, 2018
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It appears at some point the function definition for TensorFlow was changed and any code using these previous examples will break (the SageMaker environment appears to auto-update.. so assumably that code "is broken"). The current function signature def is ` def __init__(self, training_steps=None, evaluation_steps=None, checkpoint_path=None, py_version="py2", **kwargs):`
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owen-t
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Jan 19, 2018
ragavvenkatesan
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Jan 30, 2018
* add sagemaker cli (#32) * add sagemaker cli * remove unnecessary close * address PR comments * tidy up imports * fix imports, flake8 errors * improve help message for bucket-name * remove default role name * fix log-level and py3 tests, add copyright * update cli example scripts * Add documentation about BYO Models (#47) * Add test for BYO estimator using Factorization Machines algorithm as an example. (#50) * Support multi-part uploads (#45) * Update TensorFlow examples following API change (#44) * Add data_type to hyperparameters (#54) When we describe a training job the data type of the hyper parameters is lost because we use a dict[str, str]. This adds a new field to Hyperparameter so that we can convert the datatypes at runtime. instead of validating with isinstance(), we cast the hp value to the type it is meant to be. This enforces a "strongly typed" value. When we deserialize from the API string responses it becomes easier to deal with too.
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laurenyu
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May 31, 2018
apacker
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Nov 15, 2018
adding notebooks for data conversion and encryption
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It appears at some point the function definition for TensorFlow was changed and any code using these previous examples will break (the SageMaker environment appears to auto-update.. so assumably that code "is broken").
The current function signature def is
def __init__(self, training_steps=None, evaluation_steps=None, checkpoint_path=None, py_version="py2", **kwargs):